Solutions · Aurum

Master data management for Banking

Master data management for banking. Banks operate under Central Bank of Azerbaijan supervision and banking-secrecy rules, so customer data cannot go to foreign clouds.

Master Data Management Built for Azerbaijani Banking

Banks operating under the supervision of the Central Bank of Azerbaijan carry strict data-residency and banking-secrecy obligations that make reliance on foreign cloud infrastructure a material compliance risk. Allmaz delivers an on-premise-ready master data management platform purpose-built for this regulatory environment. It consolidates fragmented customer, counterparty, and vendor records from core banking, CRM, and collections systems into a single, auditable golden master — keeping every byte of sensitive data within your jurisdiction while giving compliance, operations, and risk teams the clean, trustworthy foundation they need to do their work with confidence.

Capabilities

Why Azerbaijani Banks Choose Allmaz MDM

Stay fully compliant with Central Bank of Azerbaijan data-residency and banking-secrecy rules — the platform runs inside your own controlled infrastructure, so no customer data is ever transmitted to an external environment.

Eliminate duplicate customer and counterparty records that fragment operational views, inflate support and collections call volumes, and introduce inconsistencies across downstream systems.

Produce complete audit trails and source lineage per record on demand, giving your compliance team the precise, timestamped evidence needed to satisfy Central Bank of Azerbaijan examination requests with confidence.

Detect fraud and complaint patterns earlier by working from a single, deduplicated golden master that gives risk and compliance teams a unified, complete picture of every customer relationship across all source systems.

Maintain human accountability at every step — no AI-generated match, merge, or classification is published to any downstream system without explicit approval from a designated human data steward.

Reverse any edit safely and without data loss, because changes are stored as versioned overrides rather than overwriting source records, and every reversal is itself logged for compliance purposes.

Platform Capabilities

Golden Master Record Creation

The deterministic matching engine identifies and merges duplicate customer, counterparty, and account records into one authoritative golden master, giving every downstream system a single, consistent source of truth and eliminating the fragmentation that undermines operational and regulatory reporting.

Human-in-the-Loop Stewardship

Every AI-generated match proposal or classification suggestion is held in a review queue and cannot be published until a human data steward explicitly approves it. This accountability layer is fully verifiable by regulators and internal auditors, ensuring no automated change reaches production data without human sign-off.

Full Audit Trail and Source Lineage

Each record carries a complete, immutable history of where it originated, what changed, who approved the change, and when the approval was recorded. This per-record lineage makes regulatory evidence gathering straightforward and supports both internal investigations and Central Bank of Azerbaijan examinations.

Reversible-by-Design Architecture

All edits are stored as versioned overrides and never applied in-place to source data. Any change — including merges and classifications — can be rolled back cleanly without data loss, protecting the bank against accidental or erroneous modifications while preserving a full record of every action taken.

UNSPSC Taxonomy Classification

Vendor and product records are automatically classified into the internationally recognised UNSPSC taxonomy, supporting procurement compliance, consistent spend analysis, and standardised reporting across business units without requiring manual categorisation effort.

Data-Residency-First Deployment

The platform is architected to run entirely inside your own on-premise or private-cloud infrastructure, satisfying banking-secrecy obligations and Central Bank of Azerbaijan supervision requirements from day one — no exceptions, waivers, or cross-border data transfers required.

How It Works

1Connect your core banking, CRM, and collections systems to ingest raw customer, counterparty, and vendor records into the Allmaz MDM hub, establishing a centralised intake point for all master data.
2The deterministic matching engine compares each incoming record against existing data, identifying potential duplicates and conflicts based on configurable, auditable matching rules tailored to your data model.
3AI-assisted proposals for merges, UNSPSC classifications, and enrichments are surfaced in the stewardship workbench — no change is applied automatically or published without human review.
4A designated human data steward reviews each proposal, approves or rejects it, and the decision is logged immediately with a timestamp and user identity, creating an unbroken chain of accountability.
5Approved golden records are published back to downstream systems with full source lineage attached, so any team can trace any data point back to its originating source system and the steward who approved it.
6Compliance and risk teams access the audit log at any time to produce structured evidence for Central Bank of Azerbaijan examinations, internal investigations, or external audits — without requiring manual reconstruction of data history.

Frequently Asked Questions

Does the platform send any customer data to external cloud services?

No. Allmaz MDM is designed for on-premise or private-cloud deployment within your own controlled infrastructure. Customer data never leaves your environment, which directly addresses Central Bank of Azerbaijan data-residency and banking-secrecy requirements without the need for special waivers or contractual exceptions.

How does the system ensure a human remains in control of every data change?

Every match, merge, or classification generated by the AI engine is placed in a stewardship review queue and is blocked from publication until a designated human steward explicitly approves it. The approval action — including the steward's identity and a precise timestamp — is recorded in the audit trail, creating a verifiable chain of human accountability for every change that reaches production data.

Can we undo a merge or edit if a mistake is discovered later?

Yes. The platform stores all changes as versioned overrides rather than modifying source records in place, so the original data is always preserved. Any edit or merge can be reversed cleanly without data loss, and the reversal action is itself logged in the audit trail to maintain a complete and accurate compliance record.

How does a single golden master improve fraud and complaint detection?

Duplicate records scatter a customer's activity across multiple disconnected entries, making it difficult for fraud and compliance teams to recognise patterns such as repeated complaints, unusual transaction sequences, or suspicious behaviour linked to the same individual. A deduplicated golden master consolidates all of that activity into one unified view, enabling earlier and more reliable detection of risk signals across the full customer relationship.

What evidence can we provide to regulators during a Central Bank of Azerbaijan examination?

The platform maintains a full audit trail and source lineage per record, capturing who made each change, when it was approved, which steward authorised it, and which source system the underlying data originated from. This structured log can be exported at any time to support examination requests, providing regulators with precise, timestamped evidence without requiring manual reconstruction of data history.

Ready to Bring Order to Your Bank's Data?

Talk to the Allmaz team about a deployment that meets Central Bank of Azerbaijan requirements from day one — clean golden records, complete audit trails, and human oversight built into every step of the process.

Request a demo